psiclone: Toolbox for Topological Flow Data Analysis using COT Representations

psiclone is a Python library for Topological Flow Data Analysis (TFDA).

It is under development and not public yet but free for academic use. Please make a contact to me if you want an academic trial version of psiclone.

Author: Tomoki UDA < uda {n} @ sci.u-toyama.ac.jp > where n denotes the minimum cardinal number.

References

Please cite the following article when you publish your research results using psiclone.

• T. Uda, T. Yokoyama and T. Sakajo, Algorithms converting streamline topologies for 2D Hamiltonian vector fields using Reeb graphs and persistent homology, TJSIAM, 2019, Volume 29, Issue 2, pp. 187--224, DOI:10.11540/jsiamt.29.2_187 (in Japanese).

Related Patents

• Takashi Sakajo and Tomoo Yokoyama, FLUID TRANSITION ROUTE ACQUISITION APPARATUS, FLUID TRANSITION ROUTE ACQUISITION METHOD, AND PROGRAM, JST (US2016259864 (A1))
• Takashi Sakajo and Tomoo Yokoyama, REGULAR EXPRESSION CREATION METHOD AND REGULAR EXPRESSION CREATION DEVICE OF FLOW PATTERN, AND COMPUTER-EXECUTABLE PROGRAM, JST, WO2016072515 (A1)
• Takashi Sakajo and Tomoo Yokoyama, METHOD FOR WORD REPRESENTATION OF FLOW PATTERN, APPARATUS FOR WORD REPRESENTATION, AND PROGRAM, JST, US9442894 (B2); US2015248377 (A1)
• Takashi Sakajo, Tomoo Yokoyama, Yoichi Sawamura and Takashi Ishihara, FLUID TRANSITION ANALYSIS DEVICE, FLUID TRANSITION ANALYSIS METHOD, AND PROGRAM, JST, WO2015029479 (A1)